Gowda Harsha, Ivanisevic Julijana, Johnson Caroline H, Kurczy Michael E, Benton H Paul, Rinehart Duane, Nguyen Thomas, Ray Jayashree, Kuehl Jennifer, Arevalo Bernardo, Westenskow Peter D, Wang Junhua, Arkin Adam P, Deutschbauer Adam M, Patti Gary J, Siuzdak Gary
Scripps Center for Metabolomics and Mass Spectrometry and ‡Department of Cell Biology, The Scripps Research Institute , 10550 North Torrey Pines Road, La Jolla, California 92037, United States.
Anal Chem. 2014 Jul 15;86(14):6931-9. doi: 10.1021/ac500734c. Epub 2014 Jun 25.
XCMS Online (xcmsonline.scripps.edu) is a cloud-based informatic platform designed to process and visualize mass-spectrometry-based, untargeted metabolomic data. Initially, the platform was developed for two-group comparisons to match the independent, "control" versus "disease" experimental design. Here, we introduce an enhanced XCMS Online interface that enables users to perform dependent (paired) two-group comparisons, meta-analysis, and multigroup comparisons, with comprehensive statistical output and interactive visualization tools. Newly incorporated statistical tests cover a wide array of univariate analyses. Multigroup comparison allows for the identification of differentially expressed metabolite features across multiple classes of data while higher order meta-analysis facilitates the identification of shared metabolic patterns across multiple two-group comparisons. Given the complexity of these data sets, we have developed an interactive platform where users can monitor the statistical output of univariate (cloud plots) and multivariate (PCA plots) data analysis in real time by adjusting the threshold and range of various parameters. On the interactive cloud plot, metabolite features can be filtered out by their significance level (p-value), fold change, mass-to-charge ratio, retention time, and intensity. The variation pattern of each feature can be visualized on both extracted-ion chromatograms and box plots. The interactive principal component analysis includes scores, loadings, and scree plots that can be adjusted depending on scaling criteria. The utility of XCMS functionalities is demonstrated through the metabolomic analysis of bacterial stress response and the comparison of lymphoblastic leukemia cell lines.
XCMS Online(xcmsonline.scripps.edu)是一个基于云的信息学平台,旨在处理和可视化基于质谱的非靶向代谢组学数据。最初,该平台是为两组比较而开发的,以匹配独立的“对照”与“疾病”实验设计。在此,我们引入了一个增强的XCMS Online界面,该界面使用户能够进行相关(配对)两组比较、荟萃分析和多组比较,并提供全面的统计输出和交互式可视化工具。新纳入的统计测试涵盖了广泛的单变量分析。多组比较允许识别跨多类数据中差异表达的代谢物特征,而高阶荟萃分析有助于识别跨多个两组比较中的共享代谢模式。鉴于这些数据集的复杂性,我们开发了一个交互式平台,用户可以通过调整各种参数的阈值和范围实时监测单变量(云图)和多变量(主成分分析图)数据分析的统计输出。在交互式云图上,可以根据其显著性水平(p值)、变化倍数、质荷比、保留时间和强度过滤代谢物特征。每个特征的变化模式可以在提取离子色谱图和箱线图上可视化。交互式主成分分析包括得分、载荷和碎石图,可以根据缩放标准进行调整。通过细菌应激反应的代谢组学分析和淋巴细胞白血病细胞系的比较,证明了XCMS功能的实用性。